Advancement of Machine Intelligence in Interactive Medical Image Analysis

Book Overview

Pragmatic Medical Image Analysis and Deep Learning: An Emerging Trend.- Aspect of Big Data in Medical Imaging to Extract the Hidden Information Using HIPI in HDFS Environment.- Image Segmentation using Deep Learning Techniques.- Application of Machine Intelligence in Digital Pathology: Identification of Falciparum Malaria in Thin Blood Smear Image.- Efficient ANN Algorithms for Sleep Apnea Detection using Transform Methods.- Medical Image Processing in Detection of Abdomen Diseases.- Multi-Reduct Rough Set Classifier for Computer-Aided Diagnosis in Medical Data.- A New Approach of Intuitionistic Fuzzy Membership Matrix in Medical Diagnosis with Application.- Image Analysis and Automation of Data Processing in Assessment of Dental X-ray (OPG) Using MATLAB and Excel VBA.- Detecting Bone Fracture Using Transfer Learning.- GAN based novel approach for data augmentation with improved disease classification.- Automated glaucoma type identification using Machine learning or Deep learning techniques.- Glaucoma Detection from Retinal Fundus Images using RNFL Texture Analysis.- Artificial Intelligence based Glaucoma Detection.- Security Issues of Internet of Things in Health-Care Sector: An Analytical Approach.

• Format: Paperback
• Language: English
• ISBN: 9811511020
• ISBN13: 9789811511028
• Release Date: January 2021
• Publisher: Springer
• Length: 329 Pages
• Weight: 1.06 lbs.
• Dimensions: 0.7" x 6.1" x 9.2"